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基于改进切线角和变形速率的滑坡预警

陈全明 黄炜敏 李娇

陈全明,黄炜敏,李娇. 基于改进切线角和变形速率的滑坡预警−以湖南省石门县雷家山滑坡为例[J]. 中国地质灾害与防治学报,2023,34(0): 1-8 doi: 10.16031/j.cnki.issn.1003-8035.202303041
引用本文: 陈全明,黄炜敏,李娇. 基于改进切线角和变形速率的滑坡预警−以湖南省石门县雷家山滑坡为例[J]. 中国地质灾害与防治学报,2023,34(0): 1-8 doi: 10.16031/j.cnki.issn.1003-8035.202303041
CHEN Quanming,HUANG Weimin,LI Jiao. Landslide early warning based on improved tangential angle and displacement rate: A case study of the leijiashan landslide in Shimen county, Hunan province[J]. The Chinese Journal of Geological Hazard and Control,2023,34(0): 1-8 doi: 10.16031/j.cnki.issn.1003-8035.202303041
Citation: CHEN Quanming,HUANG Weimin,LI Jiao. Landslide early warning based on improved tangential angle and displacement rate: A case study of the leijiashan landslide in Shimen county, Hunan province[J]. The Chinese Journal of Geological Hazard and Control,2023,34(0): 1-8 doi: 10.16031/j.cnki.issn.1003-8035.202303041

基于改进切线角和变形速率的滑坡预警

doi: 10.16031/j.cnki.issn.1003-8035.202303041
基金项目: 湖南省2019年自然资源科研(地方标准)项目和科技创新平台建设及科普基地建设资金(湘财建二指〔2019〕14号)
详细信息
    作者简介:

    陈全明(1984-),男,土家族,湖南,硕士,高级工程师,主要从事地质灾害监测预警和调查评价工作。E-mail:285440219@qq.com

    通讯作者:

    黄炜敏(1977-),男,汉族,湖南,硕士,高级工程师,主要从事地质灾害监测预警工作。E-mail:64854978@qq.com

  • 中图分类号: P642.22

Landslide early warning based on improved tangential angle and displacement rate: A case study of the leijiashan landslide in Shimen county, Hunan province

  • 摘要: 为了研究湖南省滑坡监测预警方法,提高预警成功率,以石门县雷家山滑坡为例展开研究。通过对灾害现场进行详细地质调查,本文对滑坡特征进行了描述,初步阐述了滑坡发生的成因机理。研究结果表明,独特的地形地貌、结构松散的土体是滑坡形成的内在因素,强降雨和工程切坡活动是导致滑坡的外因。基于GNSS系统获取滑坡的全过程变形-时间曲线,并对变形曲线特征进行分析,发现该滑坡具有明显的初始变形、等速变形、加速变形三阶段演化特征,属于渐变型滑坡。将切线角和变形速率阈值作为滑坡预警的重要指标,建立了预警判据,并对接群防群测信息平台,可以为相关部门展开防灾减灾工作和应急响应提供直接依据。雷家山滑坡实现成功避险,验证了该监测预警方法的实用价值。
  • 图  1  研究区位置概况

    Figure  1.  Overview of research area location

    图  2  灾后滑坡全貌

    Figure  2.  Overall comprehensive view of post-disaster landslide

    图  3  滑面特征及滑体物质组成

    Figure  3.  Characteristic of sliding surface and composition of sliding mass

    图  4  灾前滑坡变形特征

    Figure  4.  Pre-disaster landslide deformation characteristics

    图  5  地下水和降雨关系曲线图

    Figure  5.  Relationship graph of rainfall and groundwater

    图  6  滑坡监测系统布置

    Figure  6.  Arrangement of landslide monitoring system

    图  7  2号GNSS累计位移和降雨关系曲线图

    Figure  7.  Comprehensive curve of cumulative displacement and rainfall relationship for GNSS No. 2

    图  8  滑坡切线角和变形速率变化规律

    Figure  8.  Incremental variations in landslide tangential angle and deformation rate

    图  9  人技融合预警发布流程

    Figure  9.  Schematic flowchart of human-technology integration for early warning publication

    表  1  基于切线角阈值和变形速率综合预警判据

    Table  1.   Comprehensive early warning criteria based on tangential angle threshold and deformation rate

    预警级别注意级警示级警戒级警报级
    预报形式蓝色黄色橙色红色
    变形阶段等速变形阶段初加速变形阶段中加速变形阶段临滑阶段
    切线角α≈45°45°<α<80°80°≤α<85°α≥85°
    速率20 mm/h25~104 mm/h144~266 mm/h>300 mm/h
    滑坡变形时间5月27日-6月13日6月14日-6月25日6月26日-7月1日7月2日-7月6日
    下载: 导出CSV
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  • 收稿日期:  2023-03-18
  • 录用日期:  2023-07-10
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